Journey from Initial Experiments to Full AI Integration: Lenovo Unveils Practical Computing Power Playbook

Deep News
Yesterday

On the evening of September 16th, Lenovo Group Ltd officially released its new publication, "Computing Power in Action: Scaling the Summit, Delivering Real Results." This playbook compiles 15 real-world case studies of computing power implementation across industries including manufacturing, healthcare, education, finance, and the internet, systematically showcasing how Lenovo leverages its hybrid AI capabilities to guide clients through the transition from initial experimentation to becoming fully "AI-native."

Lenovo asserts that as enterprises scale up their AI adoption, tokens are evolving from a mere technical unit of measurement into a financial metric that demands careful calculation and management. Reducing token costs is not simply about selecting a cheaper GPU, but rather requires a holistic systems engineering approach that spans chips, models, software, and operations—essentially what Lenovo calls a "Token Factory."

The explosive growth in token demand places significantly higher demands on enterprise computing power planning, configuration, and operations management. The computing infrastructure serves as the crucial "digital foundation" supporting corporate intelligent transformation. According to the company, in response to diverse and heterogeneous computing power resources and increasingly complex AI application scenarios, Lenovo has established a comprehensive layout spanning general-purpose computing, intelligent computing, and scientific computing.

At the device level, Lenovo's full server product line now supports liquid cooling technology. The company's proprietary Neptune liquid cooling solution achieves an impressive 98% heat dissipation efficiency, enabling data center PUE ratings as low as 1.1. At the platform level, the Lenovo Wanquan heterogeneous intelligent computing platform can match clients with the most appropriate computing infrastructure based on their specific capacity requirements, while also pooling and optimizing overall computing resources for maximum performance.

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